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Internship Meta Data Analyst Jobs (NOW HIRING)

Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization of server and infrastructure capacity across our global data center fleet. In this role, you will ...

Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization of server and infrastructure capacity across our global data center fleet. In this role, you will ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to ...

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

SPA has an immediate need for a Data Analyst. #FC #Dice Responsibilities The Data Analyst will ... Experience in software testing, AFSIM, neural networks, AI, meta modeling, or machine learning.

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to ...

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to ...

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to ...

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Internship Meta Data Analyst information

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$12

$22

$42

How much do internship meta data analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship meta data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship meta data analyst?

Internship Meta Data Analysts are interns who assist organizations in collecting, organizing, and analyzing data about data—referred to as metadata. Their role typically involves working with large datasets, ensuring accuracy and consistency of data labels, and supporting data-driven decision-making processes. These interns may also help develop systems for managing metadata, improve data quality, and support various business or research projects. The internship provides hands-on experience in data analytics and helps build foundational skills for a career in data science or information management.

What are the key skills and qualifications needed to thrive as an internship meta data analyst?

To thrive as an Internship Meta Data Analyst, you need a solid understanding of data analysis, database concepts, and metadata management, often supported by coursework in computer science, information systems, or a related field. Familiarity with tools such as SQL, Excel, Python, and metadata management platforms is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills in this role. These skills are essential for accurately organizing, interpreting, and presenting metadata to support data-driven decision-making within organizations.

What are some common challenges faced by internship meta data analysts, and how can they effectively overcome them?

Internship Meta Data Analysts often encounter challenges such as managing large volumes of complex data, ensuring data accuracy, and adapting to rapidly changing project requirements. To overcome these obstacles, it's helpful to develop strong organizational skills, seek guidance from experienced team members, and utilize data management tools provided by the company. Open communication and proactive problem-solving can also help interns navigate the learning curve and contribute effectively to the team.

What is the difference between Internship Meta Data Analyst vs Data Analyst?

AspectInternship Meta Data AnalystData Analyst
Required CredentialsCurrently pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporary, in tech or data-driven companiesFull-time or part-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level talent in data and tech sectorsWidely employed across industries for data analysis and decision-making

The main difference is that an Internship Meta Data Analyst is an entry-level, temporary position aimed at gaining experience, while a Data Analyst is a full-time role requiring more experience and responsibilities. Internships serve as a stepping stone into the data industry, whereas Data Analysts typically handle ongoing data projects and analysis tasks.

What cities are hiring for Internship Meta Data Analyst jobs?

Cities with the most Internship Meta Data Analyst job openings:

What are the most commonly searched types of Meta Data Analyst jobs?

The most popular types of Meta Data Analyst jobs are:

What states have the most Internship Meta Data Analyst jobs?

States with the most job openings for Internship Meta Data Analyst jobs include:

What are popular job titles related to Internship Meta Data Analyst jobs?

For Internship Meta Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Internship Meta Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Center Capacity Engineer

Forest City, NC • On-site

Meta
Internet and IT • 10K+ employees

$83K/yr

Full-time

Posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization of server and infrastructure capacity across our global data center fleet. In this role, you will work at the intersection of site operations and capacity planning, translating demand forecasts and utilization data into actionable deployment strategies that ensure Meta's data centers can reliably support billions of users. You will collaborate with infrastructure, network, and operations teams to align capacity supply with business demand, identify bottlenecks, and drive efficient use of compute, storage, and power resources across large-scale data center environments.
Data Center Capacity Engineer Responsibilities:
  • Overall accountability for capacity workflows (receiving, moves, decommissions), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate closely with key stakeholders and partners to implement strategies and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the site
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Implement and share best practices across all global data centers for all elements of capacity while establishing standard practices for innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity, engineering, and operational initiatives across functional partners at the site. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintaining, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Share knowledge with capacity team members, both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Display knowledge of infrastructure (including, but not limited to, cooling, power, networking) as it relates to the capacity role

Minimum Qualifications:
  • 5+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • BS, BA, or BEng in a relevant field, or equivalent experience or certification
  • Experience in process ownership and development, and in systems development
  • Knowledge of enterprise-level networking, server, and storage installs
  • Comprehensive understanding of data center infrastructure systems and applications, as well as technical knowledge from related industries such as pharmaceuticals, nuclear, or large-scale manufacturing
  • Ability to communicate effectively, in a clear and concise manner, and appropriately tailor messages to the audience
  • Demonstrated ability to solve complex problems and to think at scale

Preferred Qualifications:
  • SQL, Python, or other programming and automation experience
  • Project management and delivery experience. Certifications in Agile or PMP certification
  • Experience in the application of data-driven continuous improvement through lean Six Sigma data and process analysis, visualization, and data modeling

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$83,990/year to $130,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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